MétaCan
Menu
Back to cohort
Record W4389372467 · doi:10.1136/medhum-2023-012730

Empowering the next generation: integrating adolescents into the Reproductive Justice movement

2023· article· en· W4389372467 on OpenAlexafffund
Julien Brisson, Mellissa Withers

Bibliographic record

VenueMedical Humanities · 2023
Typearticle
Languageen
FieldMedicine
TopicReproductive Health and Technologies
Canadian institutionsUniversité de MontréalPublic Health OntarioUniversity of Toronto
FundersInstitute of Gender and HealthCanadian Institutes of Health Research
KeywordsEconomic JusticeAutonomyReproductive healthContext (archaeology)AbortionReproductive justiceHealth careMedicineSociologyNursingPsychologyPublic relationsPopulationPolitical scienceEnvironmental healthLawPregnancy

Abstract

fetched live from OpenAlex

This article explores the ethical implications of mandatory parental consent requirements for adolescents seeking sexual and reproductive health services (SRHS). Using a Reproductive Justice framework, which identifies systemic barriers to accessing healthcare services, we examine ageism as a potential factor restricting adolescents' access to SRHS. While the Reproductive Justice framework has addressed systemic issues like racism and ableism in healthcare, ageism involving adolescents has been less explored. The article challenges the pertinence of mandatory parental consent requirements-as a potential barrier-for adolescents' access to SRHS. We argue that in the specific context of SRHS (contraceptives, abortion, testing and treatment of sexually transmitted infections), adolescents' autonomy (self-determination) should be respected if they request to access those services independently. From a global health perspective, adolescents have a low prevalence and uneven access to SRHS. To address the issue, we propose the integration of adolescence into the Reproductive Justice movement to empower them through education on how to access the SRHS they need.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.429
Threshold uncertainty score0.650

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.134
GPT teacher head0.370
Teacher spread0.236 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2023
Admission routes2
Has abstractyes

Explore more

Same venueMedical HumanitiesSame topicReproductive Health and TechnologiesFrench-language works237,207